Click-Through Rate Prediction

Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.

( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–300 of 391 papers

Title	Date	Tasks	Status	Hype
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity	Aug 18, 2021	Click-Through Rate PredictionRetrieval	—Unverified	0
Retrieval & Interaction Machine for Tabular Data Prediction	Aug 11, 2021	AttributeClick-Through Rate Prediction	CodeCode Available	1
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model	Aug 10, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction	Aug 3, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction	Jul 30, 2021	Click-Through Rate Prediction	CodeCode Available	2
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding	Jul 26, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction	Jul 26, 2021	Click-Through Rate PredictionFeature Engineering	—Unverified	0
FINT: Field-aware INTeraction Neural Network For CTR Prediction	Jul 5, 2021	Click-Through Rate Prediction	CodeCode Available	1
Online Interaction Detection for Click-Through Rate Prediction	Jun 27, 2021	Click-Through Rate PredictionPrediction	—Unverified	0
Deep Position-wise Interaction Network for CTR Prediction	Jun 10, 2021	Click-Through Rate PredictionPosition	CodeCode Available	0
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction	Jun 9, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction	Jun 5, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Dual Graph enhanced Embedding Neural Network for CTR Prediction	Jun 1, 2021	Click-Through Rate PredictionPrediction	—Unverified	0
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction	May 21, 2021	Click-Through Rate PredictionNeural Architecture Search	—Unverified	0
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction	May 19, 2021	Click-Through Rate PredictionMeta-Learning	CodeCode Available	1
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction	May 17, 2021	Click-Through Rate Prediction	—Unverified	0
Looking at CTR Prediction Again: Is Attention All You Need?	May 12, 2021	AllClick-Through Rate Prediction	CodeCode Available	0
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning	May 9, 2021	Binary ClassificationClick-Through Rate Prediction	—Unverified	0
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph	Apr 30, 2021	Click-Through Rate PredictionConversational Recommendation	—Unverified	0
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction	Apr 22, 2021	Click-Through Rate PredictionFeature Engineering	CodeCode Available	1
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning	Apr 15, 2021	Click-Through Rate PredictionPrediction	—Unverified	0
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem	Apr 7, 2021	BIG-bench Machine LearningClick-Through Rate Prediction	CodeCode Available	0
A Non-sequential Approach to Deep User Interest Model for CTR Prediction	Apr 5, 2021	Click-Through Rate Prediction	—Unverified	0
Graph Intention Network for Click-through Rate Prediction in Sponsored Search	Mar 30, 2021	Click-Through Rate PredictionGraph Learning	—Unverified	0
Automated Creative Optimization for E-Commerce Advertising	Feb 28, 2021	AutoMLClick-Through Rate Prediction	CodeCode Available	0
FM^2: Field-matrixed Factorization Machines for Recommender Systems	Feb 20, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
HSR: Hyperbolic Social Recommender	Feb 15, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Learning a Product Relevance Model from Click-Through Data in E-Commerce	Feb 14, 2021	Click-Through Rate PredictionComputational Efficiency	—Unverified	0
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask	Feb 9, 2021	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	4
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction	Jan 27, 2021	AllClick-Through Rate Prediction	—Unverified	0
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction	Jan 11, 2021	Click-Through Rate PredictionComputational Efficiency	CodeCode Available	0
Towards Practical Second Order Optimization for Deep Learning	Jan 1, 2021	Click-Through Rate PredictionCPU	—Unverified	0
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction	Dec 31, 2020	Click-Through Rate Prediction	—Unverified	0
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction	Dec 20, 2020	Click-Through Rate Prediction	—Unverified	0
An Embedding Learning Framework for Numerical Features in CTR Prediction	Dec 16, 2020	Click-Through Rate PredictionFeature Engineering	CodeCode Available	0
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction	Dec 13, 2020	Click-Through Rate Prediction	—Unverified	0
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning	Nov 25, 2020	Click-Through Rate PredictionGaussian Processes	CodeCode Available	1
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	Nov 25, 2020	Click-Through Rate Prediction	CodeCode Available	1
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network	Nov 24, 2020	Click-Through Rate PredictionMixture-of-Experts	—Unverified	0
CAN: Feature Co-Action for Click-Through Rate Prediction	Nov 11, 2020	Click-Through Rate PredictionPrediction	—Unverified	0
Ensemble Knowledge Distillation for CTR Prediction	Nov 8, 2020	Click-Through Rate PredictionKnowledge Distillation	—Unverified	0
U-rank: Utility-oriented Learning to Rank with Implicit Feedback	Nov 1, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction	Oct 2, 2020	Click-Through Rate Prediction	—Unverified	0
Deep Multi-Interest Network for Click-through Rate Prediction	Oct 1, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	0
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue	Sep 21, 2020	Click-Through Rate Predictioncounterfactual	CodeCode Available	1
Field-Embedded Factorization Machines for Click-through rate prediction	Sep 13, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	0
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction	Sep 12, 2020	BenchmarkingClick-Through Rate Prediction	CodeCode Available	1
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction	Aug 22, 2020	Click-Through Rate PredictionMulti-Task Learning	—Unverified	0
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems	Aug 19, 2020	Click-Through Rate PredictionLearning-To-Rank	CodeCode Available	1
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction	Aug 13, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified	0

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All datasets Criteo Avazu Company*Bing News iPinYou KKBox MovieLens 1M MovieLens 20M Amazon Dianping Frappe KDD12

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	QNN-α	AUC	0.82	—	Unverified
2	FCN	AUC	0.82	—	Unverified
3	GDCN	AUC	0.82	—	Unverified
4	MemoNet	AUC	0.82	—	Unverified
5	TF4CTR	AUC	0.82	—	Unverified
6	FinalMLP + MMBAttn	AUC	0.81	—	Unverified
7	FinalMLP	AUC	0.81	—	Unverified
8	CETN	AUC	0.81	—	Unverified
9	STEC	AUC	0.81	—	Unverified
10	DNN + MMBAttn	AUC	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OptInter	AUC	0.81	—	Unverified
2	OptInter-M	AUC	0.81	—	Unverified
3	CELS	AUC	0.8	—	Unverified
4	FCN	AUC	0.8	—	Unverified
5	CETN	AUC	0.8	—	Unverified
6	OptFS	AUC	0.8	—	Unverified
7	OptEmbed	AUC	0.79	—	Unverified
8	Sparse Deep FwFM	AUC	0.79	—	Unverified
9	FGCNN+IPNN	AUC	0.79	—	Unverified
10	Fi-GNN	AUC	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepFM	AUC	0.87	—	Unverified
2	FNN	AUC	0.87	—	Unverified
3	Wide & Deep (LR & DNN)	AUC	0.87	—	Unverified
4	PNN*	AUC	0.87	—	Unverified
5	IPNN	AUC	0.87	—	Unverified
6	Wide & Deep (FM & DNN)	AUC	0.87	—	Unverified
7	OPNN	AUC	0.87	—	Unverified
8	DeepMCP	AUC	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	xDeepFM	AUC	0.84	—	Unverified
2	Wide & Deep	AUC	0.84	—	Unverified
3	DeepFM	AUC	0.84	—	Unverified
4	PNN	AUC	0.83	—	Unverified
5	RippleNet	AUC	0.68	—	Unverified
6	DKN	AUC	0.66	—	Unverified
7	DNN	AUC	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPNN	AUC	0.82	—	Unverified
2	IPNN	AUC	0.79	—	Unverified
3	FCN	AUC	0.79	—	Unverified
4	OptInter	AUC	0.78	—	Unverified
5	OptInter-M	AUC	0.78	—	Unverified
6	PNN*	AUC	0.77	—	Unverified
7	FNN	AUC	0.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN	AUC	0.86	—	Unverified
2	DeepIM	AUC	0.85	—	Unverified
3	xDeepFM	AUC	0.85	—	Unverified
4	AutoInt+	AUC	0.85	—	Unverified
5	DeepFM	AUC	0.85	—	Unverified
6	DCNv2	AUC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STEC	AUC	0.97	—	Unverified
2	KNI	AUC	0.94	—	Unverified
3	RippleNet	AUC	0.92	—	Unverified
4	MKR	AUC	0.92	—	Unverified
5	DCNv3	AUC	0.91	—	Unverified
6	AutoInt	AUC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	github.com/guotong1988/movielens_dataset	AUC	0.79	—	Unverified
2	DIN + Dice Activation	AUC	0.73	—	Unverified
3	DIN	AUC	0.73	—	Unverified
4	DeepFM	AUC	0.73	—	Unverified
5	PNN	AUC	0.73	—	Unverified
6	Wide & Deep	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIN + Dice Activation	AUC	0.89	—	Unverified
2	DIN	AUC	0.88	—	Unverified
3	DeepFM	AUC	0.87	—	Unverified
4	PNN	AUC	0.87	—	Unverified
5	Wide & Deep	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	xDeepFM	AUC	0.86	—	Unverified
2	DeepFM	AUC	0.85	—	Unverified
3	PNN	AUC	0.84	—	Unverified
4	Wide & Deep	AUC	0.84	—	Unverified
5	DNN	AUC	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TF4CTR	AUC	0.99	—	Unverified
2	FinalMLP	AUC	0.99	—	Unverified
3	FinalMLP + MMBAttn	AUC	0.99	—	Unverified
4	DNN + MMBAttn	AUC	0.99	—	Unverified
5	AFN+	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCN	AUC	0.81	—	Unverified
2	MemoNet	AUC	0.81	—	Unverified
3	OptEmbed	AUC	0.8	—	Unverified
4	OptFS	AUC	0.8	—	Unverified
5	AutoInt	AUC	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TF4CTR	AUC	0.97	—	Unverified
2	FinalMLP	AUC	0.97	—	Unverified
3	AFN+	AUC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSTN-I	AUC	0.84	—	Unverified
2	DeepMCP	AUC	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KGCN-sum	AUC	0.74	—	Unverified
2	RippleNet	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KGCN-concat	AUC	0.8	—	Unverified
2	MKR	AUC	0.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIEN	AUC	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NormDNN	AUC	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MKR	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FGCNN+IPNN	AUC	0.94	—	Unverified